Daniel Hsu
Columbia University(US)
Publications by Year
Research Areas
Machine Learning and Algorithms, Statistical Methods and Inference, Sparse and Compressive Sensing Techniques, Topic Modeling, Bayesian Methods and Mixture Models
Most-Cited Works
- → Reconciling modern machine-learning practice and the classical bias–variance trade-off(2019)1,464 cited
- → Tensor decompositions for learning latent variable models(2014)810 cited
- → Hierarchical sampling for active learning(2008)455 cited
- → Competitive learning with floating-gate circuits(2002)378 cited
- → Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits(2014)313 cited
- → A tail inequality for quadratic forms of subgaussian random vectors(2012)301 cited
- → A spectral algorithm for learning Hidden Markov Models(2012)279 cited
- Multi-Label Prediction via Compressed Sensing(2009)
- → Learning mixtures of spherical gaussians(2013)259 cited